Yiyang CAI
About Me
👋 Hi there! I am CAI Yiyang (蔡逸扬), a Ph.D. student of Hong Kong University of Science and Technology. I am supervised by Prof. LUO Wenhan and Prof. GUO Yike. My research interests include computer vision and generative models. My main focusing topic is about ID-preserving content generation (personalization).
Prior to my doctorate studies, I worked at Intel Inc. as a machine learning engineer. I obtained my master and bachelor degree from University of California, Berkeley and Beijing University of Aeronautics and Astronautics (Beihang University) respectively.
Research Interests
- Computer Vision: Image/Video Generation
- MultiModal Learning: Multimodal Models, Unified Generation/Understanding Models
News
- [Sep. 2025] 🎉 One paper about facial personalization is accepted to NeurIPS 2025.
- [Aug. 2025] 🎉 One paper about self-improving of LLMs is accepted to EMNLP 2025 as a main conference paper.
- [Jul. 2025] 🚀 My personal webpage is now active.
Publications
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NeurIPS 2025
The 39th Annual Conference on Neural Information Processing Systems -
EMNLP 2025
The 2025 Conference on Empirical Methods in Natural Language Processing -
EMNLP 2024
The 2024 Conference on Empirical Methods in Natural Language Processing -
NeurIPS 2023
The 37th Annual Conference on Neural Information Processing Systems, Workshop of Diffusion Models, 2023 -
Arxiv
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CVPR 2022
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022.
Services
Teaching Assistant
Computer Vision (MAIE-5421), 25~26 Fall, HKUST, teached by Prof. LUO Wenhan. Practical Machine Learning (EMIA-4110), 24~25 Spring, HKUST, teached by Prof. LUO Wenhan.
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